CN107292501A - A kind of method and apparatus for assessing the effluent monitoring quality of data - Google Patents
A kind of method and apparatus for assessing the effluent monitoring quality of data Download PDFInfo
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Abstract
The purpose of the application is to provide a kind of method and apparatus for assessing the effluent monitoring quality of data, and the application to the corresponding effluent monitoring data of enterprise wastewater by carrying out before quality is estimated, at least one quality evaluation feature of preset effluent monitoring data；The corresponding effluent monitoring data of enterprise wastewater are obtained, and quality evaluation is carried out to effluent monitoring data, the corresponding characteristic value of each quality evaluation feature of effluent monitoring data is obtained；The corresponding characteristic value of each quality evaluation feature and weight based on effluent monitoring data, obtain the quality assessment value of effluent monitoring data, realize the quality evaluation to effluent monitoring data, so that supervisor can be by the quality assessment values of effluent monitoring data, to judge whether the effluent monitoring data of the enterprise are authentic and valid, the corresponding enterprise wastewater of effluent monitoring data played tricks is avoided to be discharged away, and then influence ecological environment.
Description
Technical field
The application is related to computer realm, more particularly to a kind of method and apparatus for assessing the effluent monitoring quality of data.
Background technology
Current industrial park, is made up of multiple scattered enterprises mostly, and each enterprise can produce various Industry Wastes
The pollution factor contained in water, the then waste water that can have different enterprise's discharges is different.Furthermore, industrial wastewater is mainly contained
Two sources：One is that IC-components electroplate the electroplating wastewater produced, including electroplating effluent and electroplating cleaning waste water, pollutant
Index is mainly reflected in soda acid and metal copper ion；Two be at the pre-treatment of IC-components electroplating work procedure and electroplating work procedure waste gas
Reason, pollutant is embodied in soda acid and phosphate.These pollutions, which have to pass through, adds chemical reaction medicament, and it is anti-to carry out coagulation with waste water
Should, the pollutant in waste water is separated from waste water, purification purpose is reached, enters finally into blow-off line.
In order to ensure that the water excluded by blow-off line meets regulation, therefore need to be sampled monitoring to the waste water of exclusion,
Generally install sampling of wastewater device additional before the sewage draining exit of blow-off line and carry out real-time wastewater sampling, and the waste water of real time sample is entered
Row pollutant analysis, obtains effluent monitoring data.Because most enterprises to waste water in order to avoid carrying out purified treatment, therefore can be right
Originally do not purify qualified waste water to carry out human intervention or use intelligence machine intervention so that monitor to discharge the useless of waste water
Water monitoring data can meet regulation, cause the real waste water for not reaching standard exclusion with pollution factor to be excluded, right
Ecological environment is polluted, therefore whether the effluent monitoring data for how detecting enterprise play tricks as the major subjects of industry research.
The content of the invention
The purpose of the application is to provide a kind of method and apparatus for assessing the effluent monitoring quality of data, existing to solve
Effluent monitoring data in enterprise wastewater in technology exist play tricks or monitoring instrument failure caused by the untrue property of data
Problem.
According to the one side of the application there is provided a kind of method for assessing the effluent monitoring quality of data, this method includes：
At least one quality evaluation feature of preset effluent monitoring data, wherein, the quality evaluation feature includes monitoring
Frequency characteristic, stability features, cliffy summit value tag, in a few days monitor value change frequency characteristic, in the daytime monitor value change frequency characteristic,
Random number feature, video monitoring traffic characteristic and video monitoring Intrusion Signatures；
The corresponding effluent monitoring data of enterprise wastewater are obtained, and quality evaluation is carried out to the effluent monitoring data, are obtained
The corresponding characteristic value of each quality evaluation feature of the effluent monitoring data, and to each quality evaluation of the effluent monitoring data
The corresponding characteristic value of feature is calculated, and obtains the weight of each quality evaluation feature of the effluent monitoring data；
The corresponding characteristic value of each quality evaluation feature and weight based on the effluent monitoring data, obtain the waste water prison
Survey the quality assessment value of data.
Further, it is described to obtain the corresponding effluent monitoring data of enterprise wastewater in the above method, and the waste water is supervised
Survey data and carry out quality evaluation, obtain the corresponding characteristic value of each quality evaluation feature of the effluent monitoring data, including：
A target month is chosen, and the enterprise wastewater produced when obtaining enterprise work in the target month is corresponding daily
Effluent monitoring data and monitoring number of days；
Quality evaluation is carried out to daily corresponding effluent monitoring data respectively, daily corresponding effluent monitoring data are obtained
The corresponding characteristic value of each quality evaluation feature；
The corresponding characteristic value of each quality evaluation feature based on the monitoring number of days and daily corresponding effluent monitoring data,
Obtain the corresponding characteristic value of each quality evaluation feature of the corresponding effluent monitoring data of the target month；
By the corresponding characteristic value of each quality evaluation feature of the corresponding effluent monitoring data of the target month, it is defined as
The corresponding characteristic value of each quality evaluation feature of the effluent monitoring data.
Further, in the above method, quality evaluation is carried out to daily corresponding effluent monitoring data respectively, obtains daily
The corresponding characteristic value of quality evaluation feature of corresponding effluent monitoring data, including：
Obtain the day Monitoring frequency of daily corresponding effluent monitoring data；
The day Monitoring frequency of daily corresponding effluent monitoring data is carried out with corresponding default day Monitoring frequency threshold value
Compare, obtain the corresponding characteristic value of Monitoring frequency feature of daily corresponding effluent monitoring data.
Further, in the above method, quality evaluation is carried out to daily corresponding effluent monitoring data respectively, obtains daily
The corresponding characteristic value of quality evaluation feature of corresponding effluent monitoring data, including：Obtain daily corresponding effluent monitoring data
Monitor value；
The monitor value of daily corresponding effluent monitoring data is compared with corresponding default monitor value threshold value, obtained
The corresponding characteristic value of stability features of daily corresponding effluent monitoring data.
Further, in the above method, quality evaluation is carried out to daily corresponding effluent monitoring data respectively, obtains daily
The corresponding characteristic value of each quality evaluation feature of corresponding effluent monitoring data, including：
Compliance quality evaluation is carried out to daily corresponding effluent monitoring data based on outlier algorithm, corresponded to daily
Effluent monitoring data in outlier number；
Number based on the outlier determines the corresponding feature of cliffy summit value tag of daily corresponding effluent monitoring data
Value.
Further, in the above method, quality evaluation is carried out to daily corresponding effluent monitoring data respectively, obtains daily
The corresponding characteristic value of each quality evaluation feature of corresponding effluent monitoring data, including：
The monitor value per effluent monitoring data in a few days is obtained according to default time interval, is calculated two neighboring described pre-
If the difference of the monitor value that obtains of time interval, and determine the number that the number and the difference of the difference are zero；
The number that number and the difference based on the difference are zero, obtains the day of daily corresponding effluent monitoring data
Interior monitor value changes the corresponding characteristic value of frequency characteristic.
Further, in the above method, quality evaluation is carried out to daily corresponding effluent monitoring data respectively, obtains daily
The corresponding characteristic value of each quality evaluation feature of corresponding effluent monitoring data, including：Obtain every according to default time interval
The monitor value of effluent monitoring data in a few days, the monitoring obtained per effluent monitoring data in a few days is averaged to the monitor value and is put down
Average, and determine the monitoring maximum per effluent monitoring data in a few days；
Using the ratio per the monitoring maximum of effluent monitoring data in a few days with monitoring average value as per waste water in a few days
The standardization maximum of Monitoring Data；
The standardization maximum of adjacent two days is compared, comparative result is obtained；
Calculate between the comparative result and first day corresponding standardization maximum in described adjacent two days
Rate of change ratio；
Based on the rate of change ratio and corresponding default rate of change threshold value, it is determined that daily corresponding effluent monitoring data
Monitor value in the daytime change the corresponding characteristic value of frequency characteristic.
Further, in the above method, quality evaluation is carried out to daily corresponding effluent monitoring data respectively, obtains daily
The corresponding characteristic value of each quality evaluation feature of corresponding effluent monitoring data, including：The target week in the target middle of the month is chosen,
The monitor value of every effluent monitoring data in a few days is obtained according to the default time interval within target week；
Random number detection is carried out to all monitor values obtained in target week based on random number detection algorithm, obtained
To random number testing result；
The random of daily corresponding effluent monitoring data in the target week is determined based on the random number testing result
The corresponding characteristic value of number feature.
Further, in the above method, quality evaluation is carried out to daily corresponding effluent monitoring data respectively, obtains daily
The corresponding characteristic value of each quality evaluation feature of corresponding effluent monitoring data, including：
Blowdown monitoring video daily at row's mouth of enterprise wastewater is obtained, blowdown monitoring video is analyzed
Video analysis result, and sequentially in time matched video analysis result with the corresponding effluent monitoring data, obtain
To matching result；
The corresponding spy of video monitoring traffic characteristic of daily corresponding effluent monitoring data is obtained based on the matching result
Value indicative.
Further, in the above method, quality evaluation is carried out to daily corresponding effluent monitoring data respectively, obtains daily
The corresponding characteristic value of each quality evaluation feature of corresponding effluent monitoring data, including：Obtain daily at the row mouthful of enterprise wastewater
Blowdown monitoring video, step is repeated below, until obtaining the video monitoring Intrusion Signatures of daily corresponding effluent monitoring data
Corresponding characteristic value：
Whether there is personnel's entrance in blowdown monitoring video described in Ergodic judgement；
If so, then the corresponding target of the blowdown monitoring video in a few days determines that the personnel enter fashionable time point；
In the target in a few days, when first of the effluent monitoring data before the calculating time point monitors average and is described
Between put after effluent monitoring data second monitoring average；
If the first monitoring average and the second monitoring average meet default determination condition, it is determined that the target
The corresponding characteristic value of video monitoring Intrusion Signatures of day corresponding effluent monitoring data, wherein, the default determination condition bag
Include：
mean1-mean2)/mean1>=A, and 0≤A≤1；
Wherein, the mean1 is the described first monitoring average, and the mean2 is the described second monitoring average, and the A is
Monitor average fluctuation threshold.
Further, in the above method, the quality evaluation feature also includes：Correlative character, then the acquisition enterprise
The corresponding effluent monitoring data of waste water, and quality evaluation is carried out to the effluent monitoring data, obtain the effluent monitoring data
The corresponding characteristic value of each quality evaluation feature, including：
Obtain enterprise the corresponding monthly consumption of every kind of energy input data is vectorial and the moons of corresponding effluent monitoring data
Monitoring Data vector；
Calculate two-by-two respectively every kind of monthly consumption it is vectorial with the corresponding effluent monitoring data the moon Monitoring Data to
The correlation of amount, obtains the coefficient correlation between every kind of energy input data of the enterprise and the effluent monitoring data；
Maximum is selected from all coefficient correlations, and the corresponding coefficient correlation of maximum is defined as the waste water
The corresponding characteristic value of correlative character of Monitoring Data.
According to the another aspect of the application, a kind of equipment for assessing the effluent monitoring quality of data is additionally provided, wherein, this sets
It is standby to include：
One or more processors；And
Be stored with the memory of computer-readable instruction, and the computer-readable instruction makes the processor when executed
Perform the operation such as above-mentioned method.
Compared with prior art, the application to enterprise wastewater corresponding effluent monitoring data progress quality by commenting
Before estimating, at least one quality evaluation feature of preset effluent monitoring data and its corresponding weight；Obtain enterprise wastewater correspondence
Effluent monitoring data, and to the effluent monitoring data carry out quality evaluation, obtain each quality of the effluent monitoring data
Assess the corresponding characteristic value of feature；The corresponding characteristic value of each quality evaluation feature and weight based on the effluent monitoring data,
The quality assessment value of the effluent monitoring data is obtained, realizes and quality evaluation is carried out to the effluent monitoring data of enterprise wastewater,
So as to the quality assessment value for the effluent monitoring data that supervisor can be obtained by calculating, to judge the enterprise of enterprise discharge
Whether the effluent monitoring data of waste water are authentic and valid, and then can supervise enterprise by the waste water progress pollution emission standard processing ability of discharge
Discharge, it is to avoid the corresponding enterprise wastewater of effluent monitoring data played tricks is discharged away, and then influence ecological environment.
Brief description of the drawings
By reading the detailed description made to non-limiting example made with reference to the following drawings, the application's is other
Feature, objects and advantages will become more apparent upon：
Fig. 1 shows a kind of method flow schematic diagram of assessment effluent monitoring quality of data of the application one side；
Fig. 2 is shown in an a kind of embodiment of the method for assessment effluent monitoring quality of data according to the application one side
Enterprise F every kind of energy input data of nearest 1 year and the corresponding effluent monitoring data between correlation matrix
Corxy；
Fig. 3 shows a kind of calculation process of the method for assessment effluent monitoring quality of data according to the application one side.
Same or analogous reference represents same or analogous part in accompanying drawing.
Embodiment
The application is described in further detail below in conjunction with the accompanying drawings.
In one typical configuration of the application, terminal, the equipment of service network and trusted party include one or more
Processor (CPU), input/output interface, network interface and internal memory.
Internal memory potentially includes the volatile memory in computer-readable medium, random access memory (RAM) and/or
The forms such as Nonvolatile memory, such as read-only storage (ROM) or flash memory (flashRAM).Internal memory is showing for computer-readable medium
Example.
Computer-readable medium includes permanent and non-permanent, removable and non-removable media can be by any method
Or technology come realize information store.Information can be computer-readable instruction, data structure, the module of program or other data.
The example of the storage medium of computer includes, but are not limited to phase transition internal memory (PRAM), static RAM (SRAM), moved
State random access memory (DRAM), other kinds of random access memory (RAM), read-only storage (ROM), electric erasable
Programmable read only memory (EEPROM), fast flash memory bank or other memory techniques, read-only optical disc read-only storage (CD-ROM),
Digital versatile disc (DVD) or other optical storages, magnetic cassette tape, magnetic disk storage or other magnetic storage apparatus or
Any other non-transmission medium, the information that can be accessed by a computing device available for storage.Defined according to herein, computer
Computer-readable recording medium does not include the data-signal and carrier wave of non-temporary computer readable media (transitory media), such as modulation.
The method that Fig. 1 shows a kind of assessment effluent monitoring quality of data of the application one side, this method is applied to political affairs
Network equipment end in mansion or discharge of wastewater supervision department or supervisor, wherein, this method includes：Step S11, step S12
With step S13, comprise the following steps that：
Before needing the effluent monitoring data to enterprise wastewater to carry out the quality evaluation of authenticity, the step S11 is pre-
Put at least one quality evaluation feature of effluent monitoring data；The step S12 obtains the corresponding effluent monitoring number of enterprise wastewater
According to, and quality evaluation is carried out to the effluent monitoring data, obtain each quality evaluation feature correspondence of the effluent monitoring data
Characteristic value, and the corresponding characteristic value of each quality evaluation feature of the effluent monitoring data is calculated, obtains described useless
The weight of each quality evaluation feature of water monitoring data；Each quality evaluations of the step S13 based on the effluent monitoring data
The corresponding characteristic value of feature and weight, obtain the quality assessment value of the effluent monitoring data, realize and enterprise wastewater is given up
Water monitoring data carry out quality evaluation, so as to the quality evaluation for the effluent monitoring data that supervisor can be obtained by calculating
Value, to judge whether the effluent monitoring data of enterprise wastewater of enterprise discharge have authentic and valid, and then can supervise enterprise general
The waste water of discharge carries out pollution emission standard processing and just discharged, it is to avoid the corresponding enterprise wastewater of effluent monitoring data played tricks is discharged out
Go, and then influence ecological environment.
Here, the effluent monitoring data can including but not limited to be included：The exceeded state of wastewater flow data, waste water
The exceeded upper data of data, waste water and contaminated wastewater factor concentration etc., wherein, the contaminated wastewater factor concentration can include
COD (chemical oxygen demand, chemical oxygen consumption (COC)), ammonia nitrogen, total phosphorus and sulfide etc..
, it is necessary to which the effluent monitoring data to the discharge of wastewater of at least one enterprise carry out authenticity in the embodiment of the application one
Judgement, then firstly the need of build effluent monitoring data Evaluation Model on Quality, wherein needing structure in the Evaluation Model on Quality
The parameter built is the corresponding quality evaluation feature of effluent monitoring data, and the quality evaluation feature can include：Monitoring frequency is special
Levy, stability features, cliffy summit value tag, in a few days monitor value change frequency characteristic, in the daytime monitor value change frequency characteristic, random number
Feature, video monitoring traffic characteristic, video monitoring Intrusion Signatures and correlative character.In order to arrange the waste water of at least one enterprise
The effluent monitoring data put, which are normalized, to be compared, therefore first at least one quality evaluation feature of preset effluent monitoring data, and
Come to carry out quality evaluation to the effluent monitoring data of all enterprises from the dimension of at least one quality evaluation feature.
Then above-described embodiment of the application, if the step S12 obtains the enterprise F corresponding effluent monitoring of enterprise wastewater
Data, and quality evaluation is carried out to the effluent monitoring data, obtain each quality evaluation feature pair of the effluent monitoring data
The characteristic value answered, the respectively corresponding characteristic value of Monitoring frequency feature are that c1, the corresponding characteristic value of stability features are c2, cliffy summit
It is c4, in the daytime monitor value variation that the corresponding characteristic value of value tag, which is c3, in a few days monitor value changes the corresponding characteristic value of frequency characteristic
The corresponding characteristic value of frequency characteristic is that c5, the corresponding characteristic value of random number feature are c6, the corresponding spy of video monitoring traffic characteristic
Value indicative is that c7, the corresponding characteristic value c8 of video monitoring Intrusion Signatures are and the corresponding characteristic value of correlative character is c9, realization pair
The calculating of the characteristic value of each quality evaluation feature of the effluent monitoring data.
After the corresponding characteristic value of the corresponding each quality evaluation feature of the effluent monitoring data that obtain enterprise, the step
S12 is using entropy assessment come the corresponding characteristic value of the corresponding each quality evaluation feature of the effluent monitoring data to one or more enterprises
Analyzed, calculate the weight (weight) for obtaining preset each quality evaluation feature, for example, calculating what is obtained by entropy assessment
The weight of Monitoring frequency feature be w1, the weight of stability features be w2, the weight of cliffy summit value tag be w3, in a few days monitor value become
The weight of dynamic frequency characteristic is that w4, the weight that monitor value changes frequency characteristic in the daytime are that w5, the weight of random number feature are w6, regarded
The weight of frequency monitoring traffic characteristic is w7, the weight of video monitoring Intrusion Signatures is w8 and the weight of correlative character is w9.Its
In, w1+w2+w3+w4+w5+w6+w7+w8+w9=1 realizes by entropy assessment to determine the corresponding power of quality evaluation feature
Weight, to calculate the quality assessment value for the effluent monitoring data for obtaining each enterprise according to the normalized weight.
Then the step S13 is according to the useless of each characteristic value and its corresponding weight calculation enterprise F enterprise wastewater
The quality assessment value VF such as following formulas of water monitoring data：VF=c1*w1+c2*w2+c3*w3+c4*w4+c5*w5+c6*w6+c7*w7+
c8*w8+c9*w9；
The effluent monitoring data of enterprise F enterprise wastewater can be drawn by above-mentioned quality assessment value VF calculation formula
Quality assessment value, realizes and carries out quality evaluation to the effluent monitoring data of enterprise wastewater.If the corresponding quality evaluations of enterprise F
Value VF is higher, then more illustrates that the enterprise F obtained the corresponding effluent monitoring data of enterprise wastewater are supervised closer to actual waste water
Data are surveyed, more illustrate that enterprise F effluent monitoring data are lower by the probability of human intervention, with more authenticity, and then can
Ensure that the corresponding enterprise wastewater of real effluent monitoring data reaches pollution emission standard, artificially do not played tricks.If F pairs of the enterprise
The quality assessment value VF answered is lower, then illustrates that human intervention or machine have intervened the monitoring of enterprise F enterprise wastewater so that useless
Water monitoring data are untrue, and influence government or supervision part and supervisor monitor to the authenticity of enterprise F enterprise wastewater.
Further, the step S12 obtains the corresponding effluent monitoring data of enterprise wastewater, and to the effluent monitoring number
According to quality evaluation is carried out, the corresponding characteristic value of each quality evaluation feature of the effluent monitoring data is obtained, including：
A target month is chosen, and the enterprise wastewater produced when obtaining enterprise work in the target month is corresponding daily
Effluent monitoring data and monitoring number of days；
Quality evaluation is carried out to daily corresponding effluent monitoring data respectively, daily corresponding effluent monitoring data are obtained
The corresponding characteristic value of each quality evaluation feature；
The corresponding characteristic value of each quality evaluation feature based on the monitoring number of days and daily corresponding effluent monitoring data,
Obtain the corresponding characteristic value of each quality evaluation feature of the corresponding effluent monitoring data of the target month；
By the corresponding characteristic value of each quality evaluation feature of the corresponding effluent monitoring data of the target month, it is defined as
The corresponding characteristic value of each quality evaluation feature of the effluent monitoring data.
Then in above-described embodiment of the application, the step S12, if desired to the waste water of some month in enterprise F
Monitoring Data is analyzed, it is determined that the target month M of selection, and the enterprise produced when obtaining enterprise F work in the target month M
The daily corresponding effluent monitoring data of waste water and monitoring number of days；If the enterprise work 20 days in the target month M, enterprise wastewater
It is 20 to monitor number of days D, and daily corresponding effluent monitoring data when also obtaining enterprise work, i.e., the waste water for having 20 days respectively
The effluent monitoring data of first day of Monitoring Data, such as enterprise work are Data1 (exceeded comprising wastewater flow data, waste water
The exceeded upper data of status data, waste water and contaminated wastewater factor concentration etc.), the effluent monitoring data of the second day of enterprise work
For Data2 ... ..., the effluent monitoring data of the 20th day of enterprise work are Data20.
Then, quality evaluation is carried out to daily corresponding effluent monitoring data respectively, obtains daily corresponding effluent monitoring
The corresponding characteristic value of each quality evaluation feature of data, wherein, each quality evaluation feature of daily corresponding effluent monitoring data
Corresponding characteristic value is binary value, respectively 0 or 1；If the effluent monitoring data for example to the second day of enterprise work are
Data2 carries out quality evaluation, then obtains the Monitoring frequency feature correspondence of the corresponding effluent monitoring data of second day of enterprise work
Characteristic value be that D2c1=1, the corresponding characteristic value of stability features are that D2c2=1, the corresponding characteristic value of cliffy summit value tag are
It is D2c4=1, the frequency characteristic pair of monitor value variation in the daytime that D2c3=0, in a few days monitor value, which change the corresponding characteristic value of frequency characteristic,
The characteristic value answered is that D2c5=1, the corresponding characteristic value of random number feature are D2c6=1, the corresponding spy of video monitoring traffic characteristic
Value indicative is D2c7=0, the corresponding characteristic value D2c8=1 of video monitoring Intrusion Signatures, other in 20 days of this enterprise work
The quality evaluation mode and the binary form of characteristic value of the corresponding characteristic value of quality evaluation feature of the effluent monitoring data of day
It is consistent with the process of enterprise work second day, it will not be repeated here.
The quality evaluation feature for obtaining the daily corresponding effluent monitoring data that enterprise F worked in 20 days in calculating is corresponding
Characteristic value, then can calculate the corresponding characteristic value of quality evaluation feature for obtaining the corresponding effluent monitoring data of the target month M, example
Such as in 20 days that enterprise M works, the Monitoring frequency feature correspondence of the corresponding effluent monitoring data of the target month M is if desired obtained
Characteristic value Mc1, then first in 20 days of statistics enterprise M work daily corresponding effluent monitoring data Monitoring frequency feature pair
The characteristic value answered, respectively be D1c1, D2c1 ..., D20c1, and it is 1 to count the characteristic value in all characteristic value
D is counted, then the corresponding characteristic value Mc1 of Monitoring frequency feature of the corresponding effluent monitoring data of the target month M is：Mc1=d/D；Its
In, D=20, if d=18, the corresponding characteristic value Mc1 of Monitoring frequency feature of the corresponding effluent monitoring data of the target month M is
18/20=0.9；Afterwards, the step S12 is by the Monitoring frequency feature of the corresponding effluent monitoring data of the target month M
Corresponding characteristic value Mc1, is defined as the corresponding characteristic value of Monitoring frequency feature of the enterprise F effluent monitoring data, that is, looks forward to
The corresponding characteristic value of Monitoring frequency feature of industry F effluent monitoring data is Mc1；Here, calculating enterprise F effluent monitoring respectively
The corresponding stability features of data, cliffy summit value tag, in a few days monitor value variation frequency characteristic, the frequency of monitor value variation in the daytime are special
Levy, random number feature, video monitoring traffic characteristic and video monitoring Intrusion Signatures distinguish corresponding characteristic value Mc2, Mc3, Mc4,
Mc5, Mc6, Mc7 and Mc8 computational methods, spy corresponding with calculating the enterprise F Monitoring frequency feature of effluent monitoring data
Value indicative is consistent for Mc1 computational methods, will not be repeated here；And then realize by daily right in the working day to enterprise F
The effluent monitoring data answered carry out quality evaluation, and then obtain each quality evaluation feature of the enterprise F effluent monitoring data
Corresponding characteristic value.
Then above-described embodiment of the application, the step S12, which passes through, to be supervised to the waste water of enterprise wastewater in terms of three below
Survey data and carry out quality evaluation, be respectively：Compliance quality evaluation, time series analysis, big data verification.Separately below from conjunction
The assessment of rule property amount, time series analysis, big data verify three aspects and the step S12 are illustrated.
On the one hand, it is contemplated that the discharge standard to enterprise wastewater of national regulation is, it is necessary to the effluent monitoring of enterprise wastewater
Data are estimated, useless in the discharge of wastewater situation, effluent monitoring mode and enterprise wastewater to monitor business to business waste water
Whether water pollution factor concentration amount etc. meets the relevant discharge of wastewater specification of country, thus in the step S12 respectively to daily right
The effluent monitoring data answered carry out quality evaluation, and each quality evaluation feature for obtaining daily corresponding effluent monitoring data is corresponding
Characteristic value, including：
Compliance quality evaluation is carried out to daily corresponding effluent monitoring data respectively, daily corresponding effluent monitoring is obtained
Monitoring frequency feature, stability features and the cliffy summit value tag of data distinguish corresponding characteristic value.It can be seen that, respectively to enterprise F's
The daily corresponding effluent monitoring data obtained in the monitoring process of enterprise wastewater carry out compliance quality evaluation from three dimensions
Quality evaluation is carried out, these three dimensions are respectively that Monitoring frequency is assessed, stability assessment and cliffy summit value are assessed, i.e., enterprise F is existed
The daily corresponding effluent monitoring data of enterprise obtained in monitoring process are carried out after the compliance assessment of above three dimension, can
Corresponded to respectively with the Monitoring frequency feature, stability features and the cliffy summit value tag that respectively obtain daily corresponding effluent monitoring data
Characteristic value, so as to supervisor can be recognized by this feature value enterprise F enterprise wastewater effluent monitoring data whether
Meet the relevant discharge of wastewater specification of country and whether meet authenticity, to supervise enterprise's reporting to strictly according to the facts to effluent monitoring data
Government, supervision department and supervisor.
Then above-described embodiment of the application, in the relevant discharge of wastewater specification of country, the work production cycle of enterprise is 8
It is within hour, it is necessary to which an enterprise wastewater of sampling at least 1-2 hour, and records each effluent monitoring data；If work life
The production cycle is more than 8 hours, needs enterprise wastewater of sampling at least per 2-4 hours, and records each effluent monitoring data, by
Some enterprises in reality do not observe regulation of the country to the sampling period of discharge of wastewater, in order to save cost, reduce prison
Frequency measurement time, therefore the application commenting respectively daily corresponding effluent monitoring data progress compliance quality in the step S12
Estimate, obtain the corresponding characteristic value of Monitoring frequency feature of daily corresponding effluent monitoring data, including：
Obtain the day Monitoring frequency of daily corresponding effluent monitoring data；
The day Monitoring frequency of daily corresponding effluent monitoring data is carried out with corresponding default day Monitoring frequency threshold value
Compare, obtain the corresponding characteristic value of Monitoring frequency feature of daily corresponding effluent monitoring data.
For example, the corresponding default day Monitoring frequency threshold value of corresponding effluent monitoring data can be the enterprise F daily
Positive integer, wherein, the application preferably positive integer is 6, when enterprise F works, daily correspondence during statistics enterprise F work
Effluent monitoring data (comprising wastewater flow data, the exceeded status data of waste water, the exceeded upper data of waste water and contaminated wastewater because
Sub- concentration etc.) Monitoring frequency, if the day Monitoring frequency of daily corresponding effluent monitoring data be less than or equal to it is corresponding default
Day Monitoring frequency threshold value, then illustrate that enterprise F is not reaching to the world by the defined frequency being monitored to waste water；If for example, useless
The daily Monitoring frequency of water pollution factor concentration is 8, due to the daily Monitoring frequency of contaminated wastewater factor concentration for 8 more than correspondence
Default day Monitoring frequency threshold value 6, then illustrate that Monitoring frequency meets regulation for monitoring of the 8 corresponding same day to waste water, then adopt
The same day of sample is labeled as 1, and then it is 1 to obtain the corresponding characteristic value of Monitoring frequency feature of daily corresponding effluent monitoring data；
Certainly, if the daily Monitoring frequency of contaminated wastewater factor concentration be 4 be less than corresponding default day Monitoring frequency threshold value 6 if,
Then illustrate that the monitoring to waste water is against regulation, then the same day of sampling is labeled as 0, and then obtain daily corresponding effluent monitoring
The corresponding characteristic value of Monitoring frequency feature of data is 0, realizes the waste water progress effluent monitoring number to enterprise F every day worked
Assessed according to the Monitoring frequency of progress.
Then above-described embodiment of the application, in the relevant discharge of wastewater specification of country, in the case that enterprise does not stop production,
Monitoring instrument must start shooting and return effluent monitoring data for 24 hours, in order to ensure the real-time monitoring for enterprise wastewater, therefore in enterprise
Industry does not allow monitoring instrument the machine of delaying occur in the case of not stopping production, when monitoring instrument is inoperative, shows as the waste water prison of passback
It is zero to survey data, therefore in order to ensure to carry out the effluent monitoring data of enterprise authentic assessment, therefore the difference in the step S12
Compliance quality evaluation is carried out to daily corresponding effluent monitoring data, the stability of daily corresponding effluent monitoring data is obtained
The corresponding characteristic value of feature, including：
Obtain the monitor value of daily corresponding effluent monitoring data；
The monitor value of daily corresponding effluent monitoring data is compared with corresponding default monitor value threshold value, obtained
The corresponding characteristic value of stability features of daily corresponding effluent monitoring data.
For example, because enterprise is not in the case where stopping production, the waste water that enterprise produces will not be zero, and then enterprise wastewater is entered
The effluent monitoring data of row monitoring are not present zero, therefore the default monitor value threshold value of daily corresponding effluent monitoring data is preferred
For 0, the monitor value of daily corresponding effluent monitoring data is compared with corresponding default monitor value threshold value 0, if daily
If null value occurs in the monitor value of corresponding effluent monitoring data, then illustrate that artificial or machine is done to effluent monitoring data
In advance, then it will appear from null value corresponding sampling day being labeled as 0, that is, null value corresponding sampling day corresponding effluent monitoring data occur
The corresponding characteristic value of stability features is 0；If if the monitor value of daily corresponding effluent monitoring data is not null value, illustrating
Effluent monitoring data have authenticity, then will not be null value corresponding sampling day to be labeled as 1, i.e., not be null value corresponding sampling day
The corresponding characteristic values of stability features of corresponding effluent monitoring data is 1, to characterize daily correspondence by the 0 of mark or 1
Effluent monitoring data the corresponding characteristic value of stability features, realize to the stability assessments of effluent monitoring data.
Then above-described embodiment of the application, in the relevant discharge of wastewater specification of country, according to wastewater property, such as waste water
Cliffy summit situation should not occur in pollution factor concentration etc., and waste water index should be gradual change.If there is peak value, it is more likely that be
Enterprise personnel finds that the enterprise wastewater of discharge is exceeded, and it is dense to reduce pollution factor to carry out human intervention to effluent monitoring data at once
The effluent monitoring data of degree etc..In order to avoid the situation of above-mentioned human intervention, therefore cliffy summit value need to be carried out to effluent monitoring data and commented
Estimate, then compliance quality evaluation is carried out to daily corresponding effluent monitoring data respectively in the step S12, obtain daily right
The corresponding characteristic value of cliffy summit value tag for the effluent monitoring data answered, including：
Compliance quality evaluation is carried out to daily corresponding effluent monitoring data based on outlier algorithm, corresponded to daily
Effluent monitoring data in outlier number；
Number based on the outlier determines the corresponding feature of cliffy summit value tag of daily corresponding effluent monitoring data
Value.
Here, the outlier algorithm can be that including but not limited to the unitary outlier detection including normal distribution is calculated
Method, other outlier algorithms are such as applicable to the application, then should be contained in the application.For example pass through preferred outlier algorithm：
The unitary outlier detection algorithm of normal distribution carries out compliance quality evaluation to daily corresponding effluent monitoring data, detects
Outlier in daily corresponding effluent monitoring data, and then obtain of the outlier in daily corresponding effluent monitoring data
Number, if the number of the outlier is unique and the exceeded status data of waste water beyond effluent monitoring data, will have it is described from
Corresponding sampling day is labeled as 0 when the number of group's point is unique, and otherwise labeled as 1, the number of even described outlier is unique and super
Go out the exceeded status data of waste water of effluent monitoring data, then corresponding sampling day correspondence when unique of the number with the outlier
The corresponding characteristic values of cliffy summit value tag of effluent monitoring data be 0, the rest may be inferred, and then obtains daily corresponding effluent monitoring
The corresponding characteristic value of cliffy summit value tag of data, realizes and carries out cliffy summit value assessment to the effluent monitoring data of enterprise, to ensure to obtain
The relevant discharge of wastewater regulation of effluent monitoring data fit country taken.
On the other hand, because in the enterprise wastewater of enterprise, effluent monitoring data are (exceeded comprising wastewater flow data, waste water
The exceeded upper data of status data, waste water and contaminated wastewater factor concentration etc.) in contaminated wastewater factor concentration be a row at any time
Between change and the data that change, statistically referred to as time series.By a series of time series analyses, we may determine that
Contaminated wastewater factor concentration either with or without artificially play tricks or mechanical disorder situation occur.Instrument event often occurs in effluent monitoring
Hinder or due to human intervention, cause to measure the obtained contaminated wastewater factor concentration constant or random wave near a certain value for a long time
It is dynamic, then or be manually set the range upper limit, the contaminated wastewater factor concentration for allowing measurement to obtain is fluctuated within a certain range forever, therefore
Quality evaluation is carried out to daily corresponding effluent monitoring data respectively in the step S12, daily corresponding waste water prison is obtained
The corresponding characteristic value of quality evaluation feature of data is surveyed, including：Time sequence is carried out to daily corresponding effluent monitoring data respectively
Row are assessed, and the in a few days monitor value for obtaining daily corresponding effluent monitoring data changes frequency characteristic, the frequency of monitor value variation in the daytime
Feature, random number feature distinguish corresponding characteristic value, to realize the effluent monitoring number of the enterprise wastewater to being produced daily in enterprise
According to time series assessment is carried out, with the authenticity for the effluent monitoring data for distinguishing acquisition, it is to avoid instrument failure or due to artificial
Intervene, cause the distortion for measuring obtained effluent monitoring data.
Then above-described embodiment of the application, due to often occurring that the contaminated wastewater factor is dense in the measurement to enterprise wastewater
Degree is constant for a long time, and reason is likely to be measuring instrument failure, so returning the contaminated wastewater factor finally obtained always
This data of concentration, in order to avoid this kind of situation, daily corresponding effluent monitoring data are entered respectively in above-mentioned steps S12
Row time series is assessed, and the in a few days monitor value for obtaining daily corresponding effluent monitoring data changes the corresponding feature of frequency characteristic
Value, including：
The monitor value per effluent monitoring data in a few days is obtained according to default time interval, is calculated two neighboring described pre-
If the difference of the monitor value that obtains of time interval, and determine the number that the number and the difference of the difference are zero；
The number that number and the difference based on the difference are zero, obtains the day of daily corresponding effluent monitoring data
Interior monitor value changes the corresponding characteristic value of frequency characteristic.
For example, the step S12 is according to default time interval, (such as interval of events can be 0-24 hours any
Time interval, the preferred time interval of embodiments herein is 1 hour) obtain per effluent monitoring number corresponding per hour in a few days
According to (including wastewater flow data, the exceeded status data of waste water, the exceeded upper data of waste water and contaminated wastewater factor concentration etc.)
Monitor value, when wastewater flow data are not zero, calculates the two neighboring default time interval (such as between the time
It is divided into 1 hour) difference of the monitor value that obtains, that is, calculating the effluent monitoring data of adjacent two hours, (such as waste water is dirty
Contaminate factor concentration etc.) monitor value difference, and count the number per the difference in a few days, and determine per the difference in a few days
The number for being zero；The number that number and the difference per the difference in a few days are zero is next based on, daily corresponding waste water is obtained
The in a few days monitor value of Monitoring Data changes the corresponding characteristic value of frequency characteristic, for example when the number for being zero per the difference in a few days with
The ratio between number of the difference is more than or equal to default difference threshold (for example, the default difference threshold can be any in 0-1
Decimal, the application is preferably 0.9), then the in a few days monitor value on the same day of sampling to be changed into the corresponding characteristic value of frequency characteristic and be labeled as
0, if when the ratio between number and the number of the difference for being zero per the difference in a few days is less than default difference threshold, sampling is worked as
The in a few days monitor value of day changes the corresponding characteristic value of frequency characteristic and is labeled as 1, realizes to being obtained often according to default time interval
The monitor value of effluent monitoring data in a few days carries out the assessment that in a few days monitor value changes the frequency.
Then above-described embodiment of the application, because some enterprises are dense to the contaminated wastewater factor in the measurement to enterprise wastewater
Degree setting range, makes it float within a certain range always, never exceeded to ensure, in order to avoid such a artificial or machine
Intervene, time series assessment is carried out to daily corresponding effluent monitoring data respectively in the step S12, corresponded to daily
The monitor values in the daytime of effluent monitoring data change the corresponding characteristic value of frequency characteristic, including：
The monitor value per effluent monitoring data in a few days is obtained according to default time interval, the monitor value is averaged
The monitoring average value per effluent monitoring data in a few days is obtained, and determines the monitoring maximum per effluent monitoring data in a few days；
Using the ratio per the monitoring maximum of effluent monitoring data in a few days with monitoring average value as per waste water in a few days
The standardization maximum of Monitoring Data；
The standardization maximum of adjacent two days is compared, comparative result is obtained；
Calculate between the comparative result and first day corresponding standardization maximum in described adjacent two days
Rate of change ratio；
Based on the rate of change ratio and corresponding default rate of change threshold value, it is determined that daily corresponding effluent monitoring data
Monitor value in the daytime change the corresponding characteristic value of frequency characteristic.
For example, the step S12 obtains useless per in a few days according to default time interval (such as time interval be 1 hour)
The monitor value of water monitoring data, the monitor value is averaged obtain per in a few days effluent monitoring data (such as contaminated wastewater because
Sub- concentration etc.) monitoring average value meant, wherein t represents working day sequentially in time, that is, t days worked, and from every
The monitoring maximum max of effluent monitoring data (such as contaminated wastewater factor concentration) is selected in all monitor values of dayt,
Then by per the monitoring maximum max of effluent monitoring data in a few daystWith monitoring average value maxtRatio as useless per in a few days
The standardization maximum Smax of water monitoring datat=maxt/meant, and the standardization maximum of adjacent two days is compared,
For example will standardization maximum SmaxtWith the Smax of the previous dayt-1Compare, obtain comparative result | Smaxt-Smaxt-1|/
Smaxt-1, comparative result (then can be included into any decimal between 0-1, this Shen with corresponding default rate of change threshold value
It is preferably 0.01) to be judged in embodiment please, if | Smaxt-Smaxt-1|/Smaxt-1≤ 0.01, then day t correspondence of sampling
The monitor values in the daytime of effluent monitoring data change the corresponding characteristic value of frequency characteristic and be marked as 0, otherwise characteristic value is labeled
For 1, assessment of the realization to the measured value rate of change between enterprise day and day.
Then above-described embodiment of the application, because some enterprises are generated at random with machine in the measurement to enterprise wastewater
Random number substitutes actual measured value, in order to avoid such a situation, in the step S12 respectively to daily corresponding effluent monitoring
Data carry out time series assessment, obtain the corresponding characteristic value of random number feature of daily corresponding effluent monitoring data, including：
The target week in the target middle of the month is chosen, obtains daily according to the default time interval within target week
The monitor value of interior effluent monitoring data；
Random number detection is carried out to all monitor values obtained in target week based on random number detection algorithm, obtained
To random number testing result；
The random of daily corresponding effluent monitoring data in the target week is determined based on the random number testing result
The corresponding characteristic value of number feature.
For example, choose the target week Week in the target month M, within target week Week according to it is described default when
Between interval (such as time interval be five minutes, half an hour and obtaining in real time) time series obtain per effluent monitoring in a few days
The monitor value of data (such as contaminated wastewater factor concentration), and (can include but is not limited to be based on random number detection algorithm
Box-Ljung test random data number detection algorithms etc.) all monitor values obtained in target week are carried out at random
Number detection, obtains random number testing result, is respectively or no, if the random number testing result is yes, the target
The corresponding characteristic value of random number feature of daily corresponding effluent monitoring data in all Week is defined as 0, if described random
Number testing results are no, the then corresponding spy of random number feature of the daily corresponding effluent monitoring data in target week Week
Value indicative is defined as 1, with the effluent monitoring data (such as contaminated wastewater factor concentration) of the enterprise wastewater that excludes acquisition be with
The possibility of machine number.
Then above-described embodiment of the application, because some enterprises can artificially intervene enterprise in the measurement to enterprise wastewater
The actual measured value of the effluent monitoring data of waste water, in order to avoid such a situation, being corresponded to respectively to daily in the step S12
Effluent monitoring data carry out quality evaluation, obtain the corresponding feature of quality evaluation feature of daily corresponding effluent monitoring data
Value, including：
Big data verification is carried out to daily corresponding effluent monitoring data respectively, daily corresponding effluent monitoring data are obtained
Video monitoring traffic characteristic and video monitoring Intrusion Signatures distinguish corresponding characteristic value.
For example, the step S12 utilizes the big data of various dimensions multiple types to the daily corresponding effluent monitoring data of enterprise
(wastewater flow data, the exceeded status data of waste water, the exceeded upper data of waste water and contaminated wastewater factor concentration etc. can be included)
Carry out intersecting big data verification, obtain the characteristic value of two dimensions of daily corresponding effluent monitoring data, respectively video is supervised
Flow control measure feature and video monitoring Intrusion Signatures distinguish corresponding characteristic value, and then can interpolate that out the waste water by this feature value
Whether Monitoring Data artificially fakes, to prevent the artificial data of the actual effluent monitoring data being monitored to enterprise wastewater from making
It is false.
Then above-described embodiment of the application, from video monitoring flow, the step S12 respectively to daily right
The effluent monitoring data answered carry out big data verification, obtain the video monitoring traffic characteristic pair of daily corresponding effluent monitoring data
The characteristic value answered, including：
Blowdown monitoring video daily at row's mouth of enterprise wastewater is obtained, blowdown monitoring video is analyzed
Video analysis result, and sequentially in time matched video analysis result with the corresponding effluent monitoring data, obtain
To matching result；
The corresponding spy of video monitoring traffic characteristic of daily corresponding effluent monitoring data is obtained based on the matching result
Value indicative.
For example, the daily blowdown monitoring video at row's mouth of enterprise wastewater is obtained, and using Video Analysis Technology to institute
State blowdown monitoring video and analyze the analysis result for obtaining video (for example, the Each point in time correspondence in blowdown monitoring video
Wastewater flow data etc.), afterwards sequentially in time by video analysis result and corresponding effluent monitoring data (such as waste water
Data on flows etc.) matched and (for example supervised the wastewater flow data analyzed of the time point T in blowdown monitoring video with actual
Instrument is surveyed to be matched in the time point T wastewater flow data sampled), obtain matching result；Wherein described matching result has been
Full matching is mismatched；If the matching result is matched completely, the effluent monitoring data and blowdown for illustrating actual samples are monitored
The effluent monitoring comparing that video analysis goes out is consistent, then day corresponding effluent monitoring data such as wastewater flow data of sampling
Deng) the corresponding characteristic value of video monitoring traffic characteristic be 1, if matching result for mismatch, illustrate the waste water of actual samples
Monitoring Data and the effluent monitoring comparing that blowdown monitoring video analysis goes out are inconsistent, then day corresponding effluent monitoring number of sampling
According to the corresponding characteristic value of video monitoring traffic characteristic be 0, realize in the monitoring process of enterprise wastewater blowdown monitor video
Intersect data analysis with corresponding effluent monitoring data, to judge the effluent monitoring data such as wastewater flow data obtained
Deng) authenticity.
Then above-described embodiment of the application, goes out from the video monitoring at row's mouth with the presence or absence of artificial invasion enterprise wastewater
Big data verification is carried out to daily corresponding effluent monitoring data respectively in hair, the step S12, obtains daily corresponding useless
The corresponding characteristic value of video monitoring Intrusion Signatures of water monitoring data, including：
Blowdown monitoring video daily at row's mouth of enterprise wastewater is obtained, step is repeated below, until being corresponded to daily
Effluent monitoring data the corresponding characteristic value of video monitoring Intrusion Signatures：
Whether there is personnel's entrance in blowdown monitoring video described in Ergodic judgement；
If so, then in a few days determining that the personnel enter fashionable time point in the corresponding target of blowdown monitoring video；
In the target in a few days, when first of the effluent monitoring data before the calculating time point monitors average and is described
Between put after effluent monitoring data second monitoring average；
If the first monitoring average and the second monitoring average meet default determination condition, it is determined that the target
The corresponding characteristic value of video monitoring Intrusion Signatures of day corresponding effluent monitoring data.
For example, the blowdown in the target month M that Ergodic judgement is obtained monitors in video whether have personnel's entrance；If yes,
Then in a few days determine that personnel enter fashionable time point T in the corresponding target of blowdown monitoring video for there are personnel to enterEnter, described
Target in a few days, calculates the time point TEnter(such as 14:25) the first monitoring average mean1 of the effluent monitoring data before is (i.e.
Calculate 0 of target in a few days:00-14:The monitoring average of effluent monitoring data between 25) and the time point TEnterWaste water afterwards
Second monitoring average mean2 of Monitoring Data (calculates 14 of target in a few days:25-24:The prison of effluent monitoring data between 00
Survey average)；If the first monitoring average mean1 and described second of the target in a few days monitors average mean2 and meets default
Really fixed condition, it is determined that the corresponding characteristic value of video monitoring Intrusion Signatures of the corresponding effluent monitoring data of the target day,
Realize to there is the investigation of the effluent monitoring data of human intervention.
Further, the default determination condition in the step S12 includes：
(mean1-mean2)/mean1>=A, and 0≤A≤1；
Wherein, the mean1 is the described first monitoring average, and the mean2 is the described second monitoring average, and the A is
Monitor average fluctuation threshold.
Here, the monitoring average fluctuation threshold A can be the arbitrary small number between 0-1, it is excellent in embodiments herein
It is 0.15, the monitoring smaller effluent monitoring numbers for more illustrating this day of average fluctuation threshold A to select the monitoring average fluctuation threshold A
According to the moon close to actual samples, if the first monitoring average mean1 and the second monitoring average mean2 meet (mean1-
mean2)/mean1>=0.15, it is determined that the video monitoring Intrusion Signatures correspondence of the corresponding effluent monitoring data of the target day
Characteristic value be 0；If the first monitoring average mean1 and the second monitoring average mean2 are unsatisfactory for (mean1-
mean1)/mean2>=0.15, it is determined that the video monitoring Intrusion Signatures correspondence of the corresponding effluent monitoring data of the target day
Characteristic value be 1, repeat the above steps, until obtaining the video monitoring Intrusion Signatures correspondence of daily corresponding effluent monitoring data
Characteristic value, pass through and video and its corresponding effluent monitoring data are monitored to blowdown realize judgement to human intervention.
On the other hand, the authenticity for the effluent monitoring data for distinguishing acquisition to integrate from various dimensions, the application
Embodiment in the quality evaluation feature also include：Correlative character.Analysis to the correlative character, the step
The corresponding effluent monitoring data of acquisition enterprise wastewater in S12, and quality evaluation is carried out to the effluent monitoring data, obtain institute
The corresponding characteristic value of quality evaluation feature of effluent monitoring data is stated, including：
The corresponding effluent monitoring data of enterprise wastewater are obtained, and relevance evaluation is carried out to the effluent monitoring data, are obtained
To the corresponding characteristic value of correlative character of the effluent monitoring data.Further, the step S12 obtains the every kind of of enterprise
The corresponding monthly consumption of energy input data is vectorial and moon Monitoring Data vectors of corresponding effluent monitoring data；Count two-by-two respectively
The vectorial correlation vectorial with the moon Monitoring Data of the corresponding effluent monitoring data of every kind of monthly consumption is calculated, obtains described
Coefficient correlation between the every kind of energy input data and the effluent monitoring data of enterprise；Selected from all coefficient correlations
Maximum, and the corresponding coefficient correlation of maximum is defined as to the corresponding feature of correlative character of the effluent monitoring data
Value.
For example, the energy input data include but are not limited to enterprise F water consumption per month, moon power consumption, moon coal consumption and
The moon oil amount etc., for the authenticity of the effluent monitoring data that consider acquisition, thus need the energy input data with
Multidimensional data correlation analysis assessment is carried out between the effluent monitoring data.It is water, electricity, coal that such as enterprise F energy consumptions, which are used,
And oil, the enterprise wastewater containing COD and ammonia nitrogen can be produced, in order to ensure the degree of accuracy for calculating obtained correlative character, is taken
The enterprise F monthly effluent monitoring data of nearest 1 year, and obtain the enterprise F corresponding monthly consumption of every kind of energy input data to
Amount, be respectively：Monthly water consumption vector Vwateri：Vwater1, Vwater2…Vwater12, monthly power consumption vector Veleci、
Monthly coal consumption vector VcoaliAnd monthly use oil amount vector Voili, and corresponding calculating effluent monitoring data (such as waste water
Data on flows and contaminated wastewater factor concentration etc., wherein it is preferred that the contaminated wastewater factor concentration is COD concentration and ammonia nitrogen concentration)
The moon Monitoring Data vector, be respectively：Monthly average COD vectors Vcodi, monthly average ammonia nitrogen vector VnhiAnd month to date wastewater flow
Vectorial Vfluxi, wherein, the monthly average COD vectors VcodiObtained by the COD concentration obtained in real time by month averaging, institute
State month to date wastewater flow vector VfluxiAdded up and obtained by month by real-time wastewater flow data；Wherein i is used to indicate enterprise F
Number every month of nearest 1 year, i.e. i=1,2,3,4,5,6,7,8,9,10,11 and 12；Then the step S12 distinguishes two-by-two
The vectorial correlation vectorial with the moon Monitoring Data of the corresponding effluent monitoring data of every kind of monthly consumption is calculated, institute is obtained
State the correlation matrix Cor between every kind of energy input data of enterprise and the corresponding effluent monitoring dataxySuch as Fig. 2 institutes
Show, wherein, x=1,2 and 3, y=1,2,3 and 4, and then according to correlation matrix CorxyIn coefficient correlation obtain the enterprise
Coefficient correlation between the every kind of energy input data and the effluent monitoring data of industry；Such as coefficient correlation Cor23For indicating enterprise
Coal consumption in industry this years of F is with producing the correlation between the ammonia nitrogen concentration in enterprise wastewater；Then from the coefficient correlation
In select maximum, and the correlative character that the corresponding coefficient correlation of maximum is defined as into the effluent monitoring data is corresponding
Characteristic value, if coefficient correlation Cor21For maximum MaxCor, then the corresponding coefficient correlation MaxCor=Cor of the maximum21Really
It is set to the corresponding characteristic value MaxCor of correlative character of the effluent monitoring data, realizes and energy input data are given up with corresponding
Correlation analysis between water monitoring data.
As shown in figure 3, the step S12 calculate obtain the Monitoring frequency feature, stability features, cliffy summit value tag,
In a few days monitor value change frequency characteristic, in the daytime monitor value change frequency characteristic, random number feature, video monitoring traffic characteristic, regard
After frequency monitoring Intrusion Signatures and correlative character, pass through the quality assessment value V of effluent monitoring dataASuch as following formula：
VA=c1*w1+c2*w2+c3*w3+c4*w4+c5*w5+c6*w6+c7*w7+c8*w8+c9*w9；Obtain enterprise F's
The quality assessment value V of effluent monitoring data at each discharge outletAp, wherein the p is the number at enterprise F discharge outlet.For
Strengthen monitoring the authenticity of effluent monitoring data and prevent from damaging ecological environment, thus will be at each discharge outlet it is useless
The quality assessment value V of water monitoring dataApIt is compared, and the quality that the effluent monitoring data at worst discharge outlet are obtained is commented
Valuation minVApIt is used as the quality assessment value V of the enterprise F effluent monitoring dataA=minVAp, realize to enterprise wastewater
Effluent monitoring data carry out quality evaluation, so as to the quality evaluation for the effluent monitoring data that supervisor can be obtained by calculating
Value, to judge whether the effluent monitoring data of enterprise wastewater of enterprise discharge have authenticity, supervisor can select
Divide low enterprise to carry out site inspection, greatly improve the accuracy of supervision, and then enterprise can be supervised by the waste water of discharge
Carry out pollution emission standard processing just to discharge, it is to avoid the corresponding enterprise wastewater of effluent monitoring data played tricks is discharged away, Jin Erying
Ring ecological environment.
In addition, the embodiment of the present application additionally provides a kind of equipment for assessing the effluent monitoring quality of data, the equipment includes：
One or more processors；And
Be stored with the memory of computer-readable instruction, and the computer-readable instruction makes the processor when executed
Perform the operation of preceding method.
For example, computer-readable instruction makes one or more of processors when executed：To enterprise wastewater correspondence
Effluent monitoring data carry out before quality is estimated, at least one quality evaluation feature of preset effluent monitoring data；Obtain
The corresponding effluent monitoring data of enterprise wastewater are taken, and quality evaluation is carried out to the effluent monitoring data, the waste water prison is obtained
The corresponding characteristic value of each quality evaluation feature of data is surveyed, and it is corresponding to each quality evaluation feature of the effluent monitoring data
Characteristic value is calculated, and obtains the weight of each quality evaluation feature of the effluent monitoring data；Based on the effluent monitoring number
According to the corresponding characteristic value of each quality evaluation feature and weight, obtain the quality assessment value of the effluent monitoring data, realize
Effluent monitoring data to enterprise wastewater carry out quality evaluation, so that supervisor can be by calculating obtained effluent monitoring number
According to quality assessment value, come judge the enterprise discharge enterprise wastewater effluent monitoring data whether have authenticity, superintendent
Member can select the low enterprise of score to carry out site inspection, greatly improve the accuracy of supervision, and then enough supervision enterprise will
The waste water of discharge carries out pollution emission standard processing and just discharged, it is to avoid the corresponding enterprise wastewater of effluent monitoring data played tricks is discharged out
Go, and then influence ecological environment.
Obviously, those skilled in the art can carry out the essence of various changes and modification without departing from the application to the application
God and scope.So, if these modifications and variations of the application belong to the scope of the application claim and its equivalent technologies
Within, then the application is also intended to comprising including these changes and modification.
It should be noted that the application can be carried out in the assembly of software and/or software and hardware, for example, can adopt
Realized with application specific integrated circuit (ASIC), general purpose computer or any other similar hardware device.In one embodiment
In, the software program of the application can realize steps described above or function by computing device.Similarly, the application
Software program (including related data structure) can be stored in computer readable recording medium storing program for performing, for example, RAM memory,
Magnetically or optically driver or floppy disc and similar devices.In addition, some steps or function of the application can employ hardware to realize, example
Such as, as coordinating with processor so as to performing the circuit of each step or function.
In addition, the part of the application can be applied to computer program product, such as computer program instructions, when its quilt
When computer is performed, by the operation of the computer, it can call or provide according to the present processes and/or technical scheme.
And the programmed instruction of the present processes is called, it is possibly stored in fixed or moveable recording medium, and/or pass through
Broadcast or the data flow in other signal bearing medias and be transmitted, and/or be stored according to described program instruction operation
In the working storage of computer equipment.Here, including a device according to one embodiment of the application, the device includes using
In the memory and processor for execute program instructions of storage computer program instructions, wherein, when the computer program refers to
When order is by the computing device, method and/or skill of the plant running based on foregoing multiple embodiments according to the application are triggered
Art scheme.
It is obvious to a person skilled in the art that the application is not limited to the details of above-mentioned one exemplary embodiment, Er Qie
In the case of without departing substantially from spirit herein or essential characteristic, the application can be realized in other specific forms.Therefore, no matter
From the point of view of which point, embodiment all should be regarded as exemplary, and be nonrestrictive, scope of the present application is by appended power
Profit is required rather than described above is limited, it is intended that all in the implication and scope of the equivalency of claim by falling
Change is included in the application.Any reference in claim should not be considered as to the claim involved by limitation.This
Outside, it is clear that the word of " comprising " one is not excluded for other units or step, and odd number is not excluded for plural number.That is stated in device claim is multiple
Unit or device can also be realized by a unit or device by software or hardware.The first, the second grade word is used for table
Show title, and be not offered as any specific order.
Claims (12)
1. a kind of method for assessing the effluent monitoring quality of data, wherein, methods described includes：
At least one quality evaluation feature of preset effluent monitoring data, wherein, the quality evaluation feature includes Monitoring frequency
Feature, stability features, cliffy summit value tag, in a few days monitor value change frequency characteristic, in the daytime monitor value change frequency characteristic, it is random
Number feature, video monitoring traffic characteristic and video monitoring Intrusion Signatures；
The corresponding effluent monitoring data of enterprise wastewater are obtained, and quality evaluation is carried out to the effluent monitoring data, obtain described
The corresponding characteristic value of each quality evaluation feature of effluent monitoring data, and to each quality evaluation feature of the effluent monitoring data
Corresponding characteristic value is calculated, and obtains the weight of each quality evaluation feature of the effluent monitoring data；
The corresponding characteristic value of each quality evaluation feature and weight based on the effluent monitoring data, obtain the effluent monitoring number
According to quality assessment value.
2. according to the method described in claim 1, wherein, corresponding effluent monitoring data of the acquisition enterprise wastewater, and to institute
State effluent monitoring data and carry out quality evaluation, obtain the corresponding characteristic value bag of each quality evaluation feature of the effluent monitoring data
Include：
Choose a target month, and the daily corresponding waste water of the enterprise wastewater produced when obtaining enterprise work in the target month
Monitoring Data and monitoring number of days；
Quality evaluation is carried out to daily corresponding effluent monitoring data respectively, each matter of daily corresponding effluent monitoring data is obtained
Amount assesses the corresponding characteristic value of feature；
The corresponding characteristic value of each quality evaluation feature based on the monitoring number of days and daily corresponding effluent monitoring data, is obtained
The corresponding characteristic value of each quality evaluation feature of the corresponding effluent monitoring data of the target month；
By the corresponding characteristic value of each quality evaluation feature of the corresponding effluent monitoring data of the target month, it is defined as described
The corresponding characteristic value of each quality evaluation feature of effluent monitoring data.
3. method according to claim 2, wherein, quality evaluation is carried out to daily corresponding effluent monitoring data respectively,
The corresponding characteristic value of each quality evaluation feature of daily corresponding effluent monitoring data is obtained, including：
Obtain the day Monitoring frequency of daily corresponding effluent monitoring data；
The day Monitoring frequency of daily corresponding effluent monitoring data is compared with corresponding default day Monitoring frequency threshold value,
Obtain the corresponding characteristic value of Monitoring frequency feature of daily corresponding effluent monitoring data.
4. method according to claim 2, wherein, quality evaluation is carried out to daily corresponding effluent monitoring data respectively,
The corresponding characteristic value of each quality evaluation feature of daily corresponding effluent monitoring data is obtained, including：
Obtain the monitor value of daily corresponding effluent monitoring data；
The monitor value of daily corresponding effluent monitoring data is compared with corresponding default monitor value threshold value, obtains daily
The corresponding characteristic value of stability features of corresponding effluent monitoring data.
5. method according to claim 2, wherein, quality evaluation is carried out to daily corresponding effluent monitoring data respectively,
The corresponding characteristic value of each quality evaluation feature of daily corresponding effluent monitoring data is obtained, including：
Compliance quality evaluation is carried out to daily corresponding effluent monitoring data based on outlier algorithm, obtains daily corresponding useless
The number of outlier in water monitoring data；
Number based on the outlier determines the corresponding characteristic value of cliffy summit value tag of daily corresponding effluent monitoring data.
6. method according to claim 2, wherein, quality evaluation is carried out to daily corresponding effluent monitoring data respectively,
The corresponding characteristic value of each quality evaluation feature of daily corresponding effluent monitoring data is obtained, including：
The monitor value per effluent monitoring data in a few days is obtained according to default time interval, is calculated two neighboring described default
The difference for the monitor value that time interval is obtained, and determine the number that the number and the difference of the difference are zero；
The number that number and the difference based on the difference are zero, obtains the in a few days prison of daily corresponding effluent monitoring data
Measured value changes the corresponding characteristic value of frequency characteristic.
7. method according to claim 2, wherein, quality evaluation is carried out to daily corresponding effluent monitoring data respectively,
The corresponding characteristic value of each quality evaluation feature of daily corresponding effluent monitoring data is obtained, including：
The monitor value per effluent monitoring data in a few days is obtained according to default time interval, the monitor value is averaged and obtained
Per the monitoring average value of effluent monitoring data in a few days, and determine the monitoring maximum per effluent monitoring data in a few days；
Using the ratio per the monitoring maximum of effluent monitoring data in a few days with monitoring average value as per effluent monitoring in a few days
The standardization maximum of data；
The standardization maximum of adjacent two days is compared, comparative result is obtained；
Calculate the change between the comparative result and first day corresponding standardization maximum in described adjacent two days
Rate ratio；
Based on the rate of change ratio and corresponding default rate of change threshold value, it is determined that the day of daily corresponding effluent monitoring data
Between monitor value change the corresponding characteristic value of frequency characteristic.
8. method according to claim 2, wherein, quality evaluation is carried out to daily corresponding effluent monitoring data respectively,
The corresponding characteristic value of each quality evaluation feature of daily corresponding effluent monitoring data is obtained, including：
Choose the target week in the target middle of the month, obtained within target week according to the default time interval per in a few days
The monitor value of effluent monitoring data；
Random number detections are carried out to all monitor values obtained in target week based on random number detection algorithm, obtain with
Machine number testing result；
Determine that the random number of the daily corresponding effluent monitoring data in the target week is special based on the random number testing result
Levy corresponding characteristic value.
9. method according to claim 2, wherein, quality evaluation is carried out to daily corresponding effluent monitoring data respectively,
The corresponding characteristic value of each quality evaluation feature of daily corresponding effluent monitoring data is obtained, including：
Blowdown monitoring video daily at row's mouth of enterprise wastewater is obtained, blowdown monitoring video analyze obtaining video
Analysis result, and sequentially in time being matched video analysis result with the corresponding effluent monitoring data, is obtained
With result；
The corresponding characteristic value of video monitoring traffic characteristic of daily corresponding effluent monitoring data is obtained based on the matching result.
10. method according to claim 2, wherein, quality evaluation is carried out to daily corresponding effluent monitoring data respectively,
The corresponding characteristic value of each quality evaluation feature of daily corresponding effluent monitoring data is obtained, including：Obtain the row of enterprise wastewater
Daily blowdown monitoring video, is repeated below step at mouthful, until obtaining the video monitoring of daily corresponding effluent monitoring data
The corresponding characteristic value of Intrusion Signatures：
Whether there is personnel's entrance in blowdown monitoring video described in Ergodic judgement；
If so, then the corresponding target of the blowdown monitoring video in a few days determines that the personnel enter fashionable time point；
In the target in a few days, the first monitoring average of the effluent monitoring data before the calculating time point and the time point
Second monitoring average of effluent monitoring data afterwards；
If the first monitoring average and the second monitoring average meet default determination condition, it is determined that the target day is right
The corresponding characteristic value of video monitoring Intrusion Signatures for the effluent monitoring data answered, wherein, the default determination condition includes：
(mean1-mean2)/mean1>=A, and 0≤A≤1；
Wherein, the mean1 is the described first monitoring average, and the mean2 is the described second monitoring average, and the A is monitoring
Average fluctuation threshold.
11. method according to claim 2, wherein, the quality evaluation feature also includes：Correlative character, then it is described
The corresponding effluent monitoring data of enterprise wastewater are obtained, and quality evaluation is carried out to the effluent monitoring data, the waste water is obtained
The corresponding characteristic value of each quality evaluation feature of Monitoring Data, including：
Obtain enterprise the corresponding monthly consumption of every kind of energy input data is vectorial and moon monitorings of corresponding effluent monitoring data
Data vector；
Calculate the vectorial moon Monitoring Datas vector with the corresponding effluent monitoring data of every kind of monthly consumption two-by-two respectively
Correlation, obtains the coefficient correlation between every kind of energy input data of the enterprise and the effluent monitoring data；
Maximum is selected from all coefficient correlations, and the corresponding coefficient correlation of maximum is defined as the effluent monitoring
The corresponding characteristic value of correlative character of data.
12. a kind of equipment for assessing the effluent monitoring quality of data, wherein, the equipment includes：
One or more processors；And
Be stored with the memory of computer-readable instruction, and the computer-readable instruction makes the computing device when executed
The operation of method as any one of claim 1 to 11.
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